Thomas Funck
PHD Candidate
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolThomas Funck is a PhD candidate and research scientist specializing in signal processing for multi-modal neuroimaging, with a decade of experience advancing quantitative brain measurement techniques. He focuses on PET—often combined with MRI—to extract absolute biological signals from living brains and to evaluate how well imaging markers reflect underlying neural biology. Based at McGill in Montreal and affiliated with the Child Mind Institute, he bridges rigorous neuroscience training (MSc, neuroscience; BA in philosophy and cognitive science) with computational methods to improve data quality and interpretability. Notably, his work emphasizes the unique quantitative power of PET versus relative measures like fMRI, and he develops tools to make PET-derived biomarkers more robust and clinically useful.
9 years of coding experience
Master of Science (M.Sc.), Neuroscience, Master of Science (M.Sc.), Neuroscience at McGill University
English, French
Github Skills (41)
dataflow-programming9
reproducible-research9
tracer9
electrophysiology9
neuroimaging9
pipeline9
neuroscience9
mri9
dataflow8
python8
bids8
gate8
brain-imaging8
theano8
elastix7
Programming languages (6)
Github contributions (5)
tfunck/minc_keras
Aug 2017 - Feb 2019
minc_keras is a code base that was developped during a hackathon to facillitate the implementation of deep learning models for brain imaging with the Keras package.
Contributions:7 PRs, 174 pushes, 3 branches in 1 year 6 months
braindeep-learningtheanoimagingdeep-learning-models
tfunck/petco
Aug 2016 - Oct 2018
Contributions:35 pushes, 1 branch in 2 years 2 months
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